| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | OHL | 62 | 4 | 22 | 26 | 0.419 | 0.2434 | 0.2725 | 1.0747 | 1.2033 |
| 2022-23 | — | OHL | 64 | 13 | 30 | 43 | 0.672 | 0.3899 | 0.4197 | 1.7217 | 1.8532 |
| 2023-24 | Brampton Steelheads | OHL | 66 | 26 | 55 | 81 | 1.227 | 0.7122 | 0.7325 | 3.1450 | 3.2348 |
| 2024-25 | Brampton Steelheads | OHL | 67 | 34 | 51 | 85 | 1.269 | 0.7362 | 0.7192 | 3.2510 | 3.1760 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | BigTen | FR | 37 | 8 | 11 | 19 | 0.513 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.